A Proteome Characteristic Pattern of Unstable Angina was Found by Two-Dimensional Difference Gel Electrophoresis and Least Angle Regression

Unstable angina is now a severe burden on society and family in both industrialized and developing countries, but the traditional related factors can not explain the whole situations and the traditional “golden indicator” for the diagnosis meet many new challenges. The aim of this study was to analyze the proteome characteristic pattern of unstable angina. Plasma samples were obtained from twelve unstable angina patients and twelve healthy volunteers. A polyclonal antibody affinity column was used to remove the six most abundant proteins. Then, the two classes of samples were separated by Two-dimensional difference gel electrophoresis (2D-DIGE). The differentially expressed protein spots were selected and identified with matrix-assisted laser desorption /ionization time-of-flight mass spectrometry (MALDI-TOF-MS) or MS-MS. In the end, using least angle regression algorithm, we studied the proteome characteristic pattern of unstable angina. The result is that, there are significant difference between unstable angina patients and healthy volunteers. The twenty-four proteins made pattern gain by least angle regression could distinguish unstable angina patients from the healthy people and it is probably the proteome characteristic pattern of unstable angina. To have a conclusion, the twenty-four proteins made pattern maybe the proteome characteristic pattern of unstable angina.